Validation of a Temperature Prediction Workflow for Imaging Complete Deep Brain Stimulation Systems
Alireza Sadeghi-Tarakameh1, Nur Izzati Huda Zulkarnain1, Noam Harel1, and Yigitcan Eryaman1
1Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States
We validate a previously proposed temperature
prediction workflow for a complete DBS Systems undergoing MRI. The
workflow accurately predicted the temperature time progression for different trajectories and terminations (e.g., an
extension cable and an implantable pulse generator (IPG))
Figure 1. Workflow and the experimental
set-up for predicting RF heating at the contact points of commercial DBS
electrodes due to RF exposure in MRI. (a) Phase 1: Offline calibration to
determine the Req. Phase 2: Temperature prediction. (b) Position of
the temperature probe around the contacts of the DBS electrode. (c) The
commercial IPG device used in the experiments. (d) The extension cable with a
protective boot.
Figure 4. Comparison between the simulated and measured
temperatures corresponding to five different cases. RMSE of less than 0.15°C promises
an accurate temperature prediction.